Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN)
Joint Authors
Mohd Ali, Jarinah
Abdul Aziz, Fatin Aqilah Binti
Abd. Rahman, Norliza
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Due to the rapid development of economy and society around the world, the most urban city is experiencing tropospheric ozone or commonly known as ground-level air pollutants.
The concentration of air pollutants must be identified as an early precaution step by the local environmental or health agencies.
This work aims to apply the artificial neural network (ANN) in estimating the ozone concentration forecast in Bangi.
It consists of input variables such as temperature, relative humidity, concentration of nitrogen dioxide, time, UVA and UVB rays obtained from routine monitoring, and data recorded.
Ten hidden layer is utilized to obtain the optimized ozone concentration, which is the output layer of the ANN framework.
The finding showed that the meteorology condition and emission patterns play an important part in influencing the ozone concentration.
However, a single network is sufficient enough to estimate the concentration despite any circumstances.
Thus, it can be concluded that ANN is able to give reliable and satisfactory estimations of ozone concentration for the following day.
American Psychological Association (APA)
Abdul Aziz, Fatin Aqilah Binti& Abd. Rahman, Norliza& Mohd Ali, Jarinah. 2019. Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN). Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1129538
Modern Language Association (MLA)
Abdul Aziz, Fatin Aqilah Binti…[et al.]. Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN). Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1129538
American Medical Association (AMA)
Abdul Aziz, Fatin Aqilah Binti& Abd. Rahman, Norliza& Mohd Ali, Jarinah. Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN). Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1129538
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129538